The best of both worlds: R meets Python via reticulate {https://t.co/HHhWpwLSGF} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
Intro to evolutionary algorithms with R for beginners (from scratch) [PART 1] {https://t.co/J2jlk3Y9Lf} #rstats #DataScience
— R-bloggers (@Rbloggers) August 28, 2021
R Shiny for beginners: annotated starter code {https://t.co/XZfFVS0Io4} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
Mastering Git and GitHub: the hands-on workshop {https://t.co/eRl01usuIF} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
Cheatsheet Updates {https://t.co/1u7q3rkdH4} #rstats #DataScience
— R-bloggers (@Rbloggers) August 24, 2021
Analysing tweets with the rtweet package {https://t.co/eHPef2L5Vr} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
How to Remove Duplicates in R with Example {https://t.co/ZtRWqm5tqL} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
July 2021: “Top 40” New CRAN Packages {https://t.co/VnTUeqYfLL} #rstats #DataScience
— R-bloggers (@Rbloggers) August 27, 2021
R & Python Rosetta Stone: EDA with dplyr vs pandas {https://t.co/RYOkXQ9dcG} #rstats #DataScience
— R-bloggers (@Rbloggers) August 24, 2021
Web Scraping with rvest + Astro Throwback {https://t.co/BA6NYr1iyh} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
Test For Randomness in R-How to check Dataset Randomness {https://t.co/4GAB4rIow9} #rstats #DataScience
— R-bloggers (@Rbloggers) August 22, 2021
Introducing Iterative (Nested) Forecasting with Modeltime {https://t.co/ILJ8p3cSKm} #rstats #DataScience
— R-bloggers (@Rbloggers) August 26, 2021
Fitting your model is only the beginning: Bayesian posterior probability checks with rvars {https://t.co/SVc4km6YuA} #rstats #DataScience
— R-bloggers (@Rbloggers) August 10, 2021
Supervised Machine Learning for Text Analysis in R is now complete {https://t.co/mt7lIgLGVT} #rstats #DataScience
— R-bloggers (@Rbloggers) August 13, 2021
Meta Analysis in R {https://t.co/wkT5xAE4fz} #rstats #DataScience
— R-bloggers (@Rbloggers) August 15, 2021
ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2 {https://t.co/R9EkbP29bz} #rstats #DataScience
— R-bloggers (@Rbloggers) August 12, 2021
Using R and Microsoft SQL Server to run prediction model with API call {https://t.co/3WlTJ5SW6F} #rstats #DataScience
— R-bloggers (@Rbloggers) August 20, 2021
Predict housing prices in Austin TX with tidymodels and xgboost {https://t.co/PI2ztdwyJ1} #rstats #DataScience
— R-bloggers (@Rbloggers) August 16, 2021
The best of both worlds: R meets Python via reticulate {https://t.co/HHhWpwLSGF} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
Intro to evolutionary algorithms with R for beginners (from scratch) [PART 1] {https://t.co/J2jlk3Y9Lf} #rstats #DataScience
— R-bloggers (@Rbloggers) August 28, 2021
Text mining Star Trek dialogue and classifying characters using machine learning {https://t.co/QZ7bxDnFl6} #rstats #DataScience
— R-bloggers (@Rbloggers) August 18, 2021
10 Steps to Get Started in Sports Analytics {https://t.co/Z2xh6DqT9Y} #rstats #DataScience
— R-bloggers (@Rbloggers) August 20, 2021
Using Shiny in Healthcare: Examples from the 2021 Shiny Contest {https://t.co/G2KwmUzcDM} #rstats #DataScience
— R-bloggers (@Rbloggers) August 17, 2021
R Shiny for beginners: annotated starter code {https://t.co/XZfFVS0Io4} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
---
title: "RBloggers Top Tweets"
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
source_code: embed
theme:
version: 4
bootswatch: yeti
css: styles/main.css
---
```{r setup, include=FALSE}
library(flexdashboard)
library(dplyr)
library(httr)
library(lubridate)
library(jsonlite)
library(purrr)
rbloggers <- fromJSON("data/rbloggers.json")
get_tweet_embed <- function(user, status_id) {
url <-
stringr::str_glue(
"https://publish.twitter.com/oembed?url=https://twitter.com/{user}/status/{status_id}&partner=&hide_thread=false"
)
response <- GET(url) %>%
content()
return(shiny::HTML(response$html))
}
```
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Top Tweets - 7 days {.tweet-wall}
```{r}
rblog_7 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 7, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_7_html <-
map2_chr(rblog_7$screen_name, rblog_7$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_7_html}"))
```
### Top Tweets - 30 days {.tweet-wall}
```{r}
rblog_30 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 30, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_30_html <-
map2_chr(rblog_30$screen_name, rblog_30$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_30_html}"))
```